Research Article
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Table 4
Simulation result of Example
2.
| Coefficients | Truth | HSpline (s.e.) | PHKernel (s.e.) | PHSpline (s.e.) |
| | 7.7 | 7.703 (0.050)) | 7.701 (0.051) | 7.685 (0.067) | | 4.6 | 4.604 (0.064) | 4.593 (0.065) | 4.608 (0.108) | | 3.8 | 3.792 (0.075) | 3.872 (0.078) | 3.778 (0.115) | | 2.9 | 2.909 (0.078) | 2.850 (0.091) | 2.891 (0.125) | | 5.3 | 5.295 (0.079)) | 5.308 (0.087) | 5.282 (0.133) | | 0 | 0.003 (0.072) | 0.005 (0.083) | 0.006 (0.058) | | 0 | −0.003 (0.061) | 0 (—) | 0 (—) | | 0 | 0.001 (0.058) | 0 (—) | 0 (—) | | 0 | −0.002 (0.059) | 0 (—) | 0 (—) | | 0 | 0.0004 (0.042) | 0 (—) | 0 (—) |
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